DocumentCode :
512551
Title :
Fuzzy comprehensive evaluation on the performance of government websites based on improved algorithm
Author :
Zhang, Honglei
Author_Institution :
Sch. of Econ. & Manage., Hebei Univ. of Eng., Handan, China
Volume :
1
fYear :
2009
fDate :
19-20 Dec. 2009
Firstpage :
209
Lastpage :
213
Abstract :
It is important to evaluate the performance of government Web sites. The core of fuzzy comprehensive evaluation on the performance of government Web sites is membership degree transformation. But the existing transformation methods should be questioned, because redundant data in index membership degree is also used to compute object membership degree, which is not useful for object classification. The paper eliminated the redundant data in index membership for object classification by defining distinguishable weight and extracted valid values to compute object membership. The new algorithm of membership degree transformation includes three calculation steps which can be summarized as ¿effective, comparison and composition¿, which is denoted as M(1,2,3). The paper applied the new algorithm in fuzzy comprehensive evaluation on the performance of government Web sites.
Keywords :
Web sites; fuzzy set theory; government data processing; fuzzy comprehensive evaluation; government Web sites; index membership degree; membership degree transformation; object classification; object membership degree; redundant data; Data mining; Electronic government; Entropy; Fuzzy logic; Fuzzy sets; Fuzzy systems; Intelligent transportation systems; Power electronics; Power generation economics; Power system economics; fuzzy comprehensive evaluation; government websites; improved algorithm; membership degree transformation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Electronics and Intelligent Transportation System (PEITS), 2009 2nd International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-4544-8
Type :
conf
DOI :
10.1109/PEITS.2009.5407032
Filename :
5407032
Link To Document :
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